Survey of Chinese Hospital Pharmacists' Adoption of AI Clinical Decision Support Systems

A survey dataset analyzes factors influencing hospital pharmacists' intention to use artificial intelligence-based clinical decision support systems (AI-CDSS) in China. The study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) framework by incorporating technology trust and perceived risk. Structural equation modeling was used to analyze survey responses, identifying performance expectancy, effort expectancy, and technology trust as key positive drivers.

Use Cases

• Modeling technology acceptance factors based on constructs like performance expectancy and effort expectancy.
• Analyzing the relationship between behavioral intention and actual usage behavior in clinical settings.
• Investigating the role of technology trust and perceived risk in high-stakes AI-mediated environments.
• Extending theoretical frameworks like UTAUT for application in specific professional domains.

Strengths

• The dataset is grounded in an established theoretical framework (UTAUT), augmented with two additional constructs.
• Analysis employed structural equation modeling (SEM) to test hypothesized relationships among variables.
• Specific beta coefficients for influencing factors are reported, such as performance expectancy (β = 0.308).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a single PDF file of 123.8 KB, indicating limited scope and likely containing summary results rather than raw survey data.

Provenance

Source

Author Yue Xie, platform figshare.

Collection Method

Cross-sectional survey conducted using a structured questionnaire.

Freshness

Last updated 2026-04-24 05:36:21; freshness should be verified.

Geography

China